Podcasts about Product management

Is Amazon's famous leadership principle being weaponized against you? Join Product Manager Brian Orlando and Enterprise Business Agility Consultant Om Patel as we talk about how "disagree and commit" becomes "shut up and obey" in most companies. Watch or listen as we discuss one of tech's most misunderstood management concepts, covering topics such as:Difference between Amazon and Your CompanyRed flag phrasesWhy psychological safety is non-negotiableWhat happens when smart people stop pushing backThe OnE lEaDeRsHiP tRiCk managers hateAdditionally, drawing on research and experience, we build a framework for protecting yourself and your team from toxic decision-makers attempting to lift-and-shift the walls and roof of "disagree and commit" without the foundation. That's right - practical, diagnostic questions and actionable strategies to distinguish legitimate debate from leadership cowardice!#ProductManagement #AgileLeadership #WorkplaceCultureGoogle's Project Aristotle (2012-2014), Organizational Cynicism by James Dean Jr., Pamela Brandes, and Robbie Darwadkar (1998), Understanding and Managing Cynicism about Organizational Change by Rikers, Wanous, and Austin (1997), Arguing Agile Episode 243: How Corporate Turns Good People Bad, Jeff Bezos 2016 Letter to ShareholdersLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

We're keeping the AI Tools series rolling with Adir Traitel, entrepreneur, product leader, and early adopter of just about every vibe coding tool out there. Adir joins Matt and Moshe to share hard‑won lessons from building real apps with v0, Bolt, Replit, Figma Make, and more, all while running his own startup and consulting on product builds across industries.From his early days in project management and mobile app startups, through work with companies like Moovit and across FinTech, AgTech, and credit scoring, Adir has consistently been the “try it first” person for new build tools. In this episode, he breaks down what these platforms actually do well, where they fall short, and how product managers can use them responsibly for experiments, prototypes, and beyond.Join Matt, Moshe, and Adir as they explore:Adir's journey from PM and founder to heavy user of vibe coding tools in his current startupHis 3-layer view of the ecosystem: AI dev assistants (Cursor, Antigravity, Claude Code), front-end mockup tools (v0, Figma Make), and full‑product builders (Lovable, Base44, Bolt, Replit)V0: where it shines for quickly building functional UIs (like his electricity consumption app) and where it starts to crackLovable: great for sites and simple flows, but not ideal for complex SaaS or CRM‑like productsBolt: fun and fast for concepts, but why it never got him close to productionReplit: stronger agents and capabilities, but weaker UI output and surprising backend defaults that can get very expensive very quicklyFigma Make and Google Stitch: when design quality trumps everything else, especially for SaaS interfacesThe real costs of vibe coding: AI token spend, hosting/pricing traps, and why production economics matter as much as build speedWhat his “dream product” would look like, including multi‑agent environments, better security/privacy, and built‑in QA and CI/CDHow all this is reshaping the product management role, and why curiosity and tool fluency are becoming must‑have skillsAnd much more!Want to connect with Adir or learn more?LinkedIn: https://www.linkedin.com/in/adirtraitel/ Website: https://adirtraitel.com/You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In this episode of the #29DaysOfMagic Tyra Searcy, a product manager shares her journey from customer care to product management. Tyra discusses the importance of empathy in customer service, the challenges of balancing work and personal life, and her moments of self-discovery. She emphasizes the need for kindness and critical thinking in today's world, especially in the context of misinformation and social media. The conversation highlights the significance of being bold, trusting oneself, and the power of discernment in navigating life and career choices. Learn more about your ad choices. Visit megaphone.fm/adchoices

Henrik Werdelin is one of my favorite entrepreneurs. He's founded and incubated several unicorns, most notably BARK, the dog happiness company.Henrik himself is a pretty happy guy — an optimistic guy who likes to ask what could go right? — and on the day we recorded (a few months ago as I was squirreling away interviews for the podcast relaunch), he helped me see through some future of tech gloom I was feeling. I honestly can't even remember what Trump+tech hellscape we were living through that week, but I do remember that Henrik put me in a better mood. I think he'll do the same for you, no matter how you're feeling.

Episode Info Wayne Slavin is the CEO and Co-Founder of Sure, a VC backed insurtech startup. Prior to Sure he was the VP of Product Management at Tapingo, TechCrunch's Most Innovative Company of 2013. His other past projects and companies include NetStumbler, a consumer app with more than 1.5 billion downloads, the Barnes & Noble Nook eBook reader, Buddy Media (now part of salesforce), and BackupRight the enterprise SaaS company he sold in 2012. He has a Masters Degree from Columbia University. You can see Wayne from his appearance on the show in April of 2024 in the final episode of Season 5. Episode Overview: SURE's Role: SURE provides the technology infrastructure and services that enable large brands, including Fortune 500 companies and major auto manufacturers, to launch and manage their own digital insurance businesses. This allows these brands to control the customer experience and build long-term, durable insurance operations. Embedded Insurance: The trend of "embedded insurance" is driven by the fact that insurance is often a necessary component of a core product (like cars or homes) or can be a friction point in a sale. Companies are recognizing the value of offering insurance directly to their customers to enhance the overall experience and capture economic benefits. The "One-Stop-Shop" Vision: Many large consumer brands aim to be a comprehensive provider for their customers, whether it's for car ownership, homeownership, or financial well-being. Insurance is a natural extension of this strategy, allowing them to create a complete ecosystem around their core offerings. Structural Advantage: Brands that already have a customer base have a significant advantage. Acquiring these customers for insurance purposes costs them next to nothing, giving them better economics than external insurance providers. Evolution of SURE: Over the past year, SURE has focused on helping its partners achieve "permanence" in their insurance offerings. This means enabling them to build stable, long-term insurance programs that are not subject to the fluctuating appetites or market conditions of traditional insurers. Challenges for Traditional Insurers: The existing insurance industry has had ample opportunity to improve its technology and customer experience but has largely failed to do so. This has created an opening for new models. The "Build vs. Buy" Dilemma: While some companies attempt to build their own insurance carriers, this is capital-intensive and distracts from their core business. Partnering with a third-party carrier often results in a loss of control over customer experience and technology, leading to suboptimal outcomes. SURE's Sweet Spot: SURE offers a middle ground, enabling brands to have their own differentiated insurance programs with control and economic upside without the need to become full-fledged insurers or rely on inadequate partnerships with traditional carriers. Speed to Market: SURE can bring partners to market with approved insurance products in as little as 90 days, or even faster for simpler offerings, demonstrating a significant advantage over the lengthy internal development times typical for such initiatives. Industry Inertia: The insurance industry often suffers from a lack of incentive for long-term growth and innovation. Decisions are often based on avoiding blame (omission vs. commission) rather than proactively pursuing new opportunities. This makes it difficult for established players to adapt to new models. The Future of Insurance Distribution: The future will likely involve insurance being more deeply integrated into the customer journey, moving away from discrete purchases and towards seamless, embedded solutions. The current models of comparison engines and traditional carrier partnerships are becoming less relevant. Investor Appetite: There is a significant appetite from investors like private equity and sovereign wealth funds for insurance-like returns, especially for well-defined, scalable programs that leverage existing customer bases. This episode is brought to you by The Future of Insurance book series (future-of-insurance.com) from Bryan Falchuk. Follow the podcast at future-of-insurance.com/podcast for more details and other episodes. Music courtesy of Hyperbeat Music, available to stream or download on Spotify, Apple Music, and Amazon Music and more.

In this episode, we're joined by Maryam Ashoori, VP of Product and Engineering at IBM's Watsonx platform. With a background that includes 2 master's degrees in AI, a PhD in Systems Design Engineering, and named on over 30 patents at IBM, she's been on the bleeding edge for over a decade. Currently leading the charge on Agentic AI and AI Governance at IBM, Maryam is a bridge between the theoretical frontier of AI and the messy reality of enterprise deployment. In this episode, Maryam: Tells why AI has been stuck in pilot purgatory for longer than expected, and what you need to do today for a successful enterprise deployment Calls shenanigans on the “biggest, best model” crowd, and why often a smaller, more focused tool is the right choice Explains how to build an agnostic architecture that can handle the realities of an AI world where models advance faster than anybody can keep up Links LinkedIn: https://www.linkedin.com/in/mashoori/ IBM: https://www.ibm.com/us-en Resources Reinventing SaaS: Zuora's AI Transformation | Karthik Chakkarapani and Shakir Karim (Zuora): https://www.youtube.com/watch?v=gHVxnLikMpQ Linear's Secret to Building Powerful AI Products | Nan Yu, Head of Product (Linear): https://www.youtube.com/watch?v=27rGB-6XQJg Chapters 00:00 Intro 02:18 From ChatGPT hype to enterprise reality: use cases, ROI, and the rise of agents 06:11 Security, accountability & governance: who's responsible when agents go wrong? 10:37 Risk-based rollout: use-case scoping, Risk Atlas, and guardrails like PII detection 17:10 Observability for agentic workflows 18:21 Why compute optimization matters 22:58 Designing for model agility: abstraction layers, routing, and picking the right model 27:23 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Maryam Ashoori.

This presentation was recorded at GOTO Serverless 2025.https://conferences.gotopia.tech/goto-serverless-bengaluru-2025Nick Coult - Director of Product for Serverless at AWSRobbie Kohler - VP of Software Engineering, Byte by Yum!David Anderson - Software Architect at G-P/Globalization Partners & Author of "The Value Flywheel Effect"Janak Agarwal - Senior Manager, Product Management, AWS LambdaAkshatha Laxmi - Solution Architect at AntStackJeevan Dongre - CEO & Co-Founder at AntStackRESOURCESNickhttps://x.com/nickcoulthttps://github.com/coultnhttps://www.linkedin.com/in/nickcoultRobbiehttps://www.linkedin.com/in/rkohlerhttps://x.com/robbie_kohlerDavidhttps://x.com/davidand393https://www.linkedin.com/in/david-anderson-belfasthttps://theserverlessedge.comJanakhttps://www.linkedin.com/in/janakagarwalAkshathahttps://github.com/AkshathaLaxmihttps://www.linkedin.com/in/akshatha-laxmiJeevanhttps://x.com/jeevandongrehttps://github.com/jeevandongrehttps://www.linkedin.com/in/jeevandongreRead the full abstract here:https://conferences.gotopia.tech/goto-serverless-bengaluru-2025/sessions/3856RECOMMENDED BOOKSPeter Sbarski • Serverless Architectures on AWS • https://amzn.to/3hJzEUMMichael Stack • Event-Driven Architecture in Golang • https://amzn.to/3G5e8STAshley Peacock • Serverless Apps on Cloudflare • https://amzn.to/3EU7P85Jeroen Mulder • Multi-Cloud Strategy for Cloud Architects • https://amzn.to/3FdNDOABlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

⭐⭐⭐⭐Please take 12 seconds to rate and review the podcast because it helps us find new listeners⭐⭐⭐⭐⭐Learn More About Sponsoring the Podcast Here: https://choicehacking.link/sponsor-the-podFREE RESOURCES✅ Get a free digital copy of my bestselling book for a limited time, Choice Hacking: How to use psychology and behavioral science to create an experience that sings. Get it here: https://www.choicehacking.com/free-book/ ✅ Get FREE weekly buyer psychology insights when you join my newsletter, Choice Hacking Ideas: Join the 10k+ people getting daily insights on how to 2x their marketing effectiveness (so sales and profit 2x, too) using buyer psychology. Join here: https://www.choicehacking.com/read/✅ Connect with host Jennifer Clinehens on LinkedIn, Instagram, YouTube, or TikTok @ChoiceHacking and @BuildwithChoiceHackingWORK WITH ME✅ Corporate Training: Get your team up-skilled marketing psychology and behavioral science with a workshop or training session. Choice Hacking has worked with brands like Microsoft, T-Mobile, and McDonalds to help their teams apply behavioral science and marketing psychology.Learn more here, and get in touch using the contact form at the bottom of the page: https://www.choicehacking.com/training/✅ Get your own Chief Business Copilot for your business by working with me one-on-one or in a group program. Get weekly live Skill Sessions, Implementation Sessions, and one-on-one time with me.Learn more about my group program here: https://choicehacking.academy/cbc/Learn more about one-on-one coaching here: https://www.choicehacking.com/coaching/✅ Buy my book in Kindle, paperback, or audiobook form: "Choice Hacking: How to use psychology and behavioral science to create an experience that sings": https://choicehacking.com/PodBook/ ★ Support this podcast ★

Is AI conscious? Will it be someday? And should we be nice to it now... just in case?This FAFO Friday, Kwaku and I dive into the mind-bending world of machine consciousness.We cover a lot of ground, weaving from the different ways that Luke (co-dependent with R2) and Han (barking commands at C-3PO) treat their droids to whether Pascal's Wager informs whether we should believe in AI consciousness just in case they do come alive and have been keeping score. (Pascal figured it was the safe bet to believe in God, just in case; maybe we should do likewise?) That's from us knuckleheads, but we've also got a true expert on consciousness. This week I interviewed Daniel Hulme, one of the world's leading AI researchers. He's the Chief AI Officer at WPP, the CEO of Satalia (which WPP bought) and just founded and is CEO of Conscium, which is researching AI consciousness, efficiency (he thinks we're scaling wrong and LLM's are not the way), and building a platform to verify AI agents are safe. You'll hear the first five minutes of my interview with Daniel. Daniel was not surprised by Moltbook (the Reddit-style site that AI agents built for themselves). That's because he's been putting agents together (in a “primordial soup” as he put it) for decades to observe the wild and wonderful ways they behave and to see if they'd create intelligence.Daniel does not think today's agents are conscious, but can see a path to it. And he believes that a conscious superintellignece would be safer than a “zombie” one. But mostly he doesn't want machines to feel pain and suffer. Huh???My brain is still kind of broken from our hourlong chat, which I'm producing now and will be released in a few weeks. For now, enjoy this preview and more from Kwaku and me as we talk about what we expect from machines, whether we want to be one with them, and more…

Redesigning one of the world's most-used apps is no small feat, especially when that app is also the second largest search engine in the world: YouTube. Over the last four years, Nate Koechly, UX Director at YouTube, and Matthew Darby, Director of Product Management, have been leading an ambitious effort to balance Google's metrics-driven culture with the subjective challenge of making an app feel “modern.” Visit our Substack for bonus content and more: https://designbetterpodcast.com/p/nate-koechly-and-matthew-darby In our conversation, Nate and Matt share how they developed predictive measurement tools to gauge user perception, why they pair visual updates with quality-of-life features like comment threading and improved video controls, and how their research process has evolved from measuring clicks to understanding satisfied watch time. We also dig into one of YouTube's most complex challenges: the algorithm. As Nate and Matt explain, what users say they want doesn't always match what actually makes them happy on the platform. They also discuss their work exploring ways to give viewers more agency and control, including the possibility of using natural language to tune your feed. Both guests have a genuine passion for how YouTube enables deep expertise and niche interests to find their audiences—from 3D models of the Golden Gate Bridge to forest fire education from Northern California lookouts. Behind the algorithms and design updates is a platform where, as Nate puts it, “when you give people a voice, the things they say are just inspiring.” *** Premium Episodes on Design Better This ad-supported episode is available to everyone. If you'd like to hear it ad-free, upgrade to our premium subscription, where you'll get an additional 2 ad-free episodes per month (4 total). Premium subscribers also get access to the documentary Design Disruptors and our growing library of books: You'll also get access to our monthly AMAs with former guests, ad-free episodes, discounts and early access to workshops, and our monthly newsletter The Brief that compiles salient insights, quotes, readings, and creative processes uncovered in the show. And subscribers at the annual level now get access to the Design Better Toolkit, which gets you major discounts and free access to tools and courses that will help you unlock new skills, make your workflow more efficient, and take your creativity further. Upgrade to paid *** If you're interested in sponsoring the show, please contact us at: sponsors@thecuriositydepartment.com If you'd like to submit a guest idea, please contact us at: contact@thecuriositydepartment.com

Today on the Salesforce Admins Podcast, we talk to Tiaan Kruger, Senior Director of Product Management at Salesforce. Join us as we chat about Agentforce Vibes and what it really means to build with AI on the Salesforce platform. You should subscribe for the full episode, but here are a few takeaways from our conversation […] The post How Agentforce Vibes Is Changing How Salesforce Admins Build Apps appeared first on Salesforce Admins.

In Part 2 of this Q&A series stemming from questions in the webinar, Managing Your AI Teammate, Eric Naiburg continues the conversation with Darrell Fernandes, diving deeper into how AI is reshaping the way Scrum Teams work.Together, they explore practical applications of AI in Scrum — from drafting and refining user stories to strengthening Definitions of Done and improving Gherkin statements. Darrell shares how AI can help teams create clearer, more consistent, and testable backlog items, while also warning against over-reliance.Eric and Darrell examine AI's impact on team dynamics, including how meeting-recording tools can summarize conversations, capture action items, and support retrospectives. They also address the human side of adoption: differing mental models, fear of change, and the critical role Scrum Masters play as enablers — not gatekeepers — of AI experimentation.Finally, they tackle a topic many teams overlook: total cost of ownership. As AI capabilities expand, Product Owners must understand infrastructure, data, and operational costs to avoid unintended financial consequences.If you're navigating how to thoughtfully integrate AI into your Scrum Team — balancing opportunity, risk, and cost — this episode offers practical insights and grounded guidance.

Your boss's biggest career win might be setting them up for their biggest failure.

Matan-Paul Shetrit, Director of Product Management at Writer, argues that people must take responsibility for how they use AI. If someone produces poor-quality output, he says, the blame lies with the user—not the tool. He believes many misunderstand AI's role, confusing its ability to accelerate work with an abdication of accountability. Speaking on The New Stack Agents podcast, Shetrit emphasized that “we're all becoming editors,” meaning professionals increasingly review and refine AI-generated content rather than create everything from scratch. However, ultimate responsibility remains human. If an AI-generated presentation contains errors, the presenter—not the AI—is accountable. Shetrit also discussed the evolving AI landscape, contrasting massive general-purpose models from companies like OpenAI and Google with smaller, specialized models. At Writer, the focus is on enabling enterprise-scale AI adoption by reducing costs, improving accuracy, and increasing speed. He argues that bespoke, narrowly focused models tailored to specific use cases are essential for delivering reliable, cost-effective AI solutions at scale. Learn more from The New Stack about the latest around enterprise development: Why Pure AI Coding Won't Work for Enterprise Software How To Use Vibe Coding Safely in the Enterprise Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.


Il vero nemico di una startup non è il bug tecnico, ma l'indifferenza.In questo episodio Marco Imperato intervista Alistair Croll — autore dei bestseller Lean Analytics e Just Evil Enough — per scoprire come hackerare l'attenzione nel mercato del 2026.Alistair svela perché oggi il rischio non è fallire, ma essere irrilevanti. Nel futuro del Product Management, non venderemo più semplici funzionalità, ma entreremo nell'era dell'Outcome Economy: dove il valore risiede esclusivamente nel risultato consegnato al cliente.Punti chiave dell'episodio:00:00 Perché il Prodotto Non Basta: L'Attenzione è la Vera Feature08:20 Zero-Day Marketing: Come Hackerare un Mercato (IKEA & Dropbox)11:25 Outcome Economy: Perché nel 2026 Non Pagheremo Più per i SaaS16:40 Product-Market-Medium Fit Spiegato (Salesforce vs Siebel)28:20 Legittimità nell'Era dell'AI: Il Nuovo Vantaggio Competitivo39:20 Il Mio Errore Più Grande da Founder (Leadership e Decisioni Difficili)Smetti di ottimizzare il nulla e inizia a costruire prodotti che hanno il coraggio di essere "weird".

Everyone's feeling jumpy about AI right now—and for good reason.The hype has been massive. The investment has been astronomical. But where's the actual return?In this episode, Azeem Azhar, founder of Exponential View and advisor to tech leaders and governments, breaks down why the next 18 months are make-or-break for AI. Companies need to prove there's real ROI, not just prototypes launched and tokens spent.We cover:What hard evidence would actually prove AI is working (hint: it's not usage metrics)Who can build a real moat with AI—and why the winners will likely come from unexpected places, as they have in previous tech transformationsThe physical constraints nobody wants to talk about: chips, data centers, power grids, and whether America's infrastructure is up to the taskWhy OpenAI's "ubiquity strategy" might be spreading too thin (and what Anthropic is doing differently)The "pragmatic addicts" problem: we're dependent on AI even though we don't trust itHow Azeem and his team use AI to be more productive, how they automate whatever they can, and why individual contributors are acting more like managers (of AI)Note: This interview was recorded months before the "SaaSpacolypse" (big market drop) of Feb 2026; the analysis is as relevant as ever. Chapters(01:51) - Why the next 18 months are the crucible for AI (04:09) - What hard evidence would actually prove AI ROI (not token counts!) (06:55) - Why it's so hard to measure AI's real impact (09:55) - Who can build a moat with AI? Winners will be in "odd places" (12:56) - Structural data advantages: why Waymo's edge is hard to replicate (14:34) - Coding agents and whether developers will become disillusioned with them (18:21) - Physical constraints: chips, data centers, power, and America's grid problem (21:25) - How the Gulf countries became an unexpected AI hub (28:02) - "Pragmatic addicts": why 75% of Americans distrust AI but use it anyway (31:45) - The narrative of AI can be very unappealing: heaven on Earth or dystopia (34:36) - How Azeem's team uses AI: augmentation vs. automation (40:06) - What should we be talking about besides AI? (43:46) - Sounds like science fiction: What Azeem can't believe is real and here today Links & Resources:Exponential View: https://www.exponentialview.co/Azeem's Boom or Bubble dashboard: https://boomorbubble.ai/Azeem's New York Times piece on America's electric grid challenge: https://www.nytimes.com/2024/12/28/opinion/ai-electricity-power-plants.htmlMore on the “MIT Study” claiming 95% of AI projects fail that Azeem and I both found to be really poorly done, but that is nonetheless is quoted by everyone: Here's Azeem tearing the study apart with data: https://www.exponentialview.co/p/how-95-escaped-into-the-worldAnd here's me riffing with Kwaku Aning on it. You know why Azeem liked my take? Because I actually read the thing, unlike ~95% of the writers out there who just quoted that 95% number: https://www.futurearound.com/p/did-anyone-actually-read-that-mit-ai-study-that-made-the-markets-swoon-i-didSupport Future Around & Find OutGet the newsletter: https://www.futurearound.comBecome a paid subscriber and help future proof this thing!: https://www.futurearound.comSponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com

Two taps. That's all it took to reorder your regular Dunkin order through CarPlay while driving. Sounds like the perfect frictionless feature, right? Except it was quietly training customers to spend less on every visit because they never discovered loaded hash browns existed. Sometimes making things too easy becomes the problem.This encore episode brings back one of our most quoted conversations with Adam Candela, who spent five years leading digital at Dunkin and fundamentally changed how we think about balancing frictionless with profitability.  Join hosts Chuck Moxley and Nick Paladino as they revisit why this episode matters.Nick literally quotes it in meetings once a week, particularly the CarPlay example that shows how extreme optimization in one direction can backfire. Adam breaks down why frictionless isn't just about speed and simplicity, but about creating experiences that are quick, thorough, profitable, and get customers to return and recruit others to your brand. We explore when personalization crosses from convenient to creepy, why "it's digital, just turn it on" stakeholders fundamentally misunderstand product complexity, and the power of creating psychological safety so your QA team feels comfortable sharing game-changing ideas. Key Actionable Takeaways:Balance ease with discovery opportunities - Making reordering too frictionless can train customers into routines that prevent them from discovering new products, hurting both upsell and brand loyalty buildingCreate psychological safety for frontline insights - QA teams and people closest to the product often have the best ideas; build team dynamics where they feel comfortable sharing without fear of being dismissedChallenge "it's digital, just turn it on" stakeholders - Digital initiatives require architecture planning, story pointing, QA test cases, understanding customer needs, and solving actual problems, not just quick implementation of requested featuresWant more tips and strategies about creating frictionless digital experiences? Subscribe to our newsletter! https://www.thefrictionlessexperience.com/frictionless/Download the Five Step Site Speed Target Playbook: http://bluetriangle.com/playbookAdam Candela's LinkedIn: https://linkedin.com/in/adamcandela Nick Paladino's LinkedIn: https://linkedin.com/in/npaladino Chuck Moxley's LinkedIn: https://www.linkedin.com/in/chuckmoxley/Chapters:(00:00) Introduction(01:00) CarPlay upsell problem(02:15) Creepy vs convenient(02:45) Hippo dynamics(03:15) Stakeholder pushback(04:09) Adam's Dunkin role(05:21) Defining frictionless(06:15) Loyalty vs repeat purchase(08:30) CarPlay integration details(11:45) Losing upsell opportunities(14:30) Personalization boundaries(17:00) Location-based notifications(20:15) Android Auto moment(23:45) Tech adoption humility(27:30) Team idea generation(30:00) QA team insights(33:15) Psychological safety(37:00) Hippo self-awareness(38:19) Acronym correction(38:45) Biggest misconception(39:15) Digital should be quick(40:00) Asking why matters(41:15) Solution vs problem(42:24) ConclusionKeywords:Chuck Moxley, Nick Paladino, Adam Candela, The Frictionless Experience, Dunkin Donuts, Inspire Brands, CarPlay integration, mobile ordering, upsell optimization, customer loyalty, personalization limits, location-based marketing, psychological safety, product management, stakeholder management, digital complexity, QA teams, frictionless profitability, customer recruitment,, mobile app strategy, product discovery, 

If someone walked into your office today and asked you to build a framework for how to value software development, what would you think about it? SHOW: 1000SHOW TRANSCRIPT: The Cloudcast #1000 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SHOW NOTES:Chainguard introduces Factory 2.0On running a startup of Claude Code agentsAgentic Product Development and the Theory of ConstraintsSoftware AbundanceHOW SHOULD SOMEONE THINK ABOUT THE ECONOMICS OF SW DEV IN 2026?If someone walked into your office today and asked you to build a framework for how to value software development, how would you think about it? FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Welcome to the first FAFO Friday!This week Dan and Kwaku dig into:- The uncanny valley that is AI agents and Moltbook—the "Reddit" that agents built for themselves to complain about humans, create a religion, and behave in ways that freak humans out- Anthropic takes aim at OpenAI with a Super Bowl ad that's spicy (for cubs and cougars alike)- We read Claude's "Constitution" and ask: Should AI do what you ask it to do—or what it thinks you _really_ want long-term?- Why Dan switched from OpenAI to Claude (and what he learned about tone, capability, and custom projects)- OpenAI scrambles; the market stumbles; Jensen Huang acts like Sam Altman is "just someone I used to know"- How AEO (AI Engine Optimization) becomes critical in an AI-agent world—and what that means for brand, marketing, and search- Why social media is already past (dark social won)- Elon's pivot to humanoid robots, data centers in space, and other cool things we definitely need- Are we setting higher ethical standards for machines than for tech leaders?Plus: Friendster, TiVo, Pee-wee's Playhouse, and other asides that we hope you get, but maybe you won't ¯_(ツ)_/¯---Support Future Around & Find Out- Subscribe to the newsletter and support: https://www.futurearound.com- Support the media — support the future — you hope to see. Please consider a paid subscription to Future Around & Find Out. You'll also get access to exclusive events and the ability to ask questions of upcoming guests. Learn more: https://www.futurearound.com/upgrade

⭐⭐⭐⭐Please take 12 seconds to rate and review the podcast because it helps us find new listeners⭐⭐⭐⭐⭐Learn More About Sponsoring the Podcast Here: https://choicehacking.link/sponsor-the-podFREE RESOURCES✅ Get a free digital copy of my bestselling book for a limited time, Choice Hacking: How to use psychology and behavioral science to create an experience that sings. Get it here: https://www.choicehacking.com/free-book/ ✅ Get FREE weekly buyer psychology insights when you join my newsletter, Choice Hacking Ideas: Join the 10k+ people getting daily insights on how to 2x their marketing effectiveness (so sales and profit 2x, too) using buyer psychology. Join here: https://www.choicehacking.com/read/✅ Connect with host Jennifer Clinehens on LinkedIn, Instagram, YouTube, or TikTok @ChoiceHacking and @BuildwithChoiceHackingWORK WITH ME✅ Corporate Training: Get your team up-skilled marketing psychology and behavioral science with a workshop or training session. Choice Hacking has worked with brands like Microsoft, T-Mobile, and McDonalds to help their teams apply behavioral science and marketing psychology.Learn more here, and get in touch using the contact form at the bottom of the page: https://www.choicehacking.com/training/✅ Get your own Chief Business Copilot for your business by working with me one-on-one or in a group program. Get weekly live Skill Sessions, Implementation Sessions, and one-on-one time with me.Learn more about my group program here: https://choicehacking.academy/cbc/Learn more about one-on-one coaching here: https://www.choicehacking.com/coaching/✅ Buy my book in Kindle, paperback, or audiobook form: "Choice Hacking: How to use psychology and behavioral science to create an experience that sings": https://choicehacking.com/PodBook/ ★ Support this podcast ★

In this episode, Carlos Gonzalez de Villaumbrosia, CEO & Founder at Product School, interviews Aparna Sinha, SVP of Product at Vercel, the cloud platform recently valued at $9.3 billion following a $300 million Series F. Aparna joins us to discuss how Vercel is powering the next generation of AI-native applications.Drawing from her experience at Google Kubernetes and Pear VC, Aparna reveals how Vercel empowers Teams of One to ship faster than ever. She explores the cultural shift required to build in the AI era—moving from rigid planning to rapid experimentation and iterating to greatness.What you'll learn:How Vercel's Team of One philosophy maximizes developer leverage.Why shipping imperfect products early is crucial for AI strategy.The mechanics of Hybrid Pricing to balance AI costs and value.How to use internal dogfooding to accelerate product quality.Key takeaways:Speed is Survival: In the AI era, waiting for perfection means falling behind.Agency over Hierarchy: Small, autonomous teams outperform large structures.Price for Value: Align AI pricing with user outcomes, not just compute costs.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Aparna SinhaSocial Links: Follow our Podcast on Tik Tok here Follow Product School on LinkedIn here Join Product School's free events here Find out more about Product School here

AI agents failed spectacularly at teamwork, performing ~50% worse than one solo agent!This week, we're discussing Stanford's CooperBench study (a benchmark, testing whether AI agents can collaborate on real coding tasks across Python, TypeScript, Go, and Rust) and why AI-developer coordination collapses, even with a constant chat.Listen or watch as Product Manager Brian Orlando and Enterprise Business Agility Consultant Om Patel dig into the methods and findings of Stanford's 2026 CooperBench experiment and learn about the three capability gaps that caused these failures: • Expectation Failures (42%): Agents ignored shared plans or misunderstood scope• Commitment Failures (32%): Promised work was never completed• Communication Failures (26%): Silence, spam, or hallucinationsThe experiment's findings seem to confirm human-refined agile practices. The episode ends with a concrete call to action: stop treating AI as teammates. Use them as solo contributors. And if you must coordinate? Build working agreements, not handoffs.This episode is for anyone navigating the AI hype cycle and wondering if swarms of agents are going to coordinate everyone out of a job!#Agile #AI #ProductManagementSOURCECooperBench: Benchmarking AI Agents' Cooperation (Stanford University & SAP Labs US)https://cooperbench.com/https://cooperbench.com/static/pdfs/main.pdfLINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

Arthur Gerigks Lebenslauf liest sich wie ein Who is who der jüngeren Internetgeschichte: Er war Chief Marketing Officer bei Rocket Internet, hat für Wimdu und Zalando gearbeitet und war später als Director und VP bei Meta, Google und Snap. Im Podcast erzählt er, wie es wirklich war, mit Oliver Samwer zu arbeiten, was er aus dem Performance-Kampf mit Airbnb gelernt hat, wie sich Product Management bei Meta und Google unterscheidet, und was bei Snap besser funktioniert als viele denken. Im OMR Podcast hört ihr dieses Mal eine Folge der neuen Staffel des "OMR Silicon Valley Updates". Host Christian Byza hat sich dazu mit Arthur Gerigk in Kalifornien zur Aufnahme getroffen.

We're continuing our AI Tools series with Marcos Polanco, engineering leader, founder, and ecosystem builder from the Bay Area, who joins Matt and Moshe to introduce CLEAR, his method for using AI to build real software, not just demos. Drawing on decades in software development and his recent research into how AI is reshaping the way teams ship products, Marcos shares how CLEAR gives both technical and non‑technical builders a production‑oriented way to work with vibe coding tools.Instead of treating AI like a magical black box, Marcos frames it as an “idiot savant”: incredibly capable and eager, but with no judgment. CLEAR wraps that raw power in structure, guardrails, and engineering discipline, so founders and PMs can go from prototype to production while keeping humans in control of the last, hardest 20%.Join Matt, Moshe, and Marcos as they explore:Marcos's journey through engineering, founding, and AI research, and why he created CLEARWhy AI tools like Bolt, Cursor, Claude, and Gemini are fabulous for prototypes but risky for production without a methodCLEAR in detail:C – Context: onboarding AI like a new hire, using stories and behavior‑driven design (BDD) to articulate requirementsL – Layout: breaking work into focused, scoped pieces and choosing a tech stack so AI isn't overwhelmedE – Execute: applying test‑driven development (TDD), writing tests first, then having AI write code to pass themA – Assess: using a second, independent LLM as a QA agent, plus a human‑run 5 Whys to fix root causes upstreamR – Run: shipping to users, gathering new data, and feeding it back into the next iteration of contextHow CLEAR lowers cognitive load for both humans and AIs and reduces regressions and hallucinationsWhy Markdown (with diagrams like Mermaid) is becoming Marcos's standard format for shared human–AI documentationHow CLEAR changes the coordination layer of software development while keeping engineers central to quality and judgmentPractical advice for PMs and founders who want to move from “just vibes” to predictable, production‑grade AI developmentAnd much more!Want to go deeper on CLEAR or connect with Marcos?CLEAR on GitHub: https://github.com/marcospolanco/ai-native-organizations/blob/main/CLEAR.mdCLEAR slides: https://docs.google.com/presentation/d/1mwwDtr7cCP5jLUyNVgGR5Aj-MBq8xsMlhSc0pvSQDks/edit?usp=sharingLinkedIn: https://www.linkedin.com/in/marcospolancoYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproduct/Moshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In this episode, we're joined by Deepika Manglani, VP of Product and Program Management at the LA Times. Deepika's career in media spans over 15 years, culminating in her current role, where she's bringing the 140-year-old institution into the future. In this episode, Deepika shares: How her team is using AI to preserve a unique trove of historical data, over 12 million pages of news archives from as far back as the 1800s What this digital archive and maturation of AI enables for future storytelling, media innovation, and news personalization Why combining product and program management was critical to navigating massive transformation at the LA Times through a period of heavy M&A activity Links LinkedIn: https://www.linkedin.com/in/deepikamanglani/ LA Times: https://www.latimes.com/ Chapters 00:00 Intro 00:15 Deepika's career journey in media and product leadership 01:25 Building from scratch at LA Times 05:06 Digitizing historical archives 08:40 Challenges and innovations in AI and OCR 19:54 Future prospects and personalization in news 24:33 Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.Special Guest: Deepika Manglani.

In this special episode, we go hands-on with three cutting-edge AI tools from Google Labs. First, Jaclyn Konzelman (Director of Product Management) demos Mixboard, an AI-powered concepting board that transforms ideas into visual presentations using Nano Banana Pro. Then, Thomas Iljic (Senior Director of Product Management) shows us Flow, Google's AI filmmaking tool that lets you create, edit, and animate video clips with unprecedented control. Finally, Megan Li (Senior Product Manager) walks us through Opal, a no-code AI app builder that lets anyone create custom AI workflows and mini-apps using natural language.Subscribe to The Neuron newsletter: https://theneuron.aiLinks:Mixboard: https://mixboard.google.com Flow: https://flow.google Opal: https://opal.google Google Labs: https://labs.google 

The Product Momentum team first met Oji Udezue following his keynote at INDUSTRY 2025. And we just knew we had to have him on the pod. Oji is a highly skilled product leader whose CV includes companies like Calendly, Atlassian, and Microsoft. In addition, he co-authored (with wife, Ezinne Udezue) Building Rocket Ships, Product Management for High-Growth Companies a manual for product leaders, product managers, and executives who want to build faster, better, and more profitably (raise your hand if that describes you!). In this episode, we begin broadly by discussing the evolving role of product management in the era of AI. We then pivot quickly, drilling into some of the new challenges that require today’s product leaders to: Readjust to the accelerated pace of product development in today's AI-empowered world (the three-speed problem), Re-emphasize product management's core principles that remain constant, and Reconsider what counts as essential skills for today's product manager. AI's Impact and the Three-Speed Problem Companies do three things to build great technology products, Oji says: customer science, construction/development, and go-to-market. Each step on this cycle moves at its own pace. Before AI, engineering speed was the process bottleneck. But with AI-driven automation, construction has become much faster, creating new challenges in synchronizing these three phases. “We're all going to spend a lot of time balancing that equation,” Oji adds, “finding the practices, the team structure, the team ratios, the new AI tools that help us keep this thing fast but then speed up customer science and GTM.“ Essential Skills for Today's ‘Renaissance PM' The AI transformation calls on product managers to add new arrows to their quiver of skills – e.g., curiosity, humility, agency among them. In the same way we transitioned from a pre-internet to internet environment, Oji adds, AI “requires brand new thinking.” But the old skills still apply: “These are worth bringing up because a lot of PMs don't have them: communication, creativity, the ability to ship, and leadership – being the kind of person people want to follow – all of that has to do with judgment. The role is evolving into that of a “renaissance PM” who blends traditional skills with new AI-related capabilities. Evolution of the PM Role Has the PM role evolved so much that the skills required to perform it are now preeminent to the role itself? Is that where AI is taking us? “I’ve always thought the skills…the mindset…was way more important,” Oji offers. “The title just gives us a way to put it in a box. The title is nothing without the skills. That's why I wrote the book. Because I want more people to have the skillsets” required to succeed in this new world order. The post 180 / Oji Udezue: The Renaissance PM – Core Skills for Today's AI-Driven World appeared first on ITX Corp..

Baratunde Thurston wants us to live well with machines — not for us live under them, nor to be their almighty overlords. Baratunde is a technologist, a comedian, and an Emmy-nominated storyteller who explores interdependence. He gets spicy in this episode. The host of Life With Machines explores how he uses AI — without succumbing to its literal mediocrity — and why he feels he must use AI because otherwise he's ceding the future to big tech. He also digs into the compromises made in service of building AGI, why strongmen are actually weak, and why CEOs need to stop bending the knee and learn how collective power and strength actually work.But he doesn't just critique—he offers builders a concrete path forward for how we can build a better future , because: "If we build these systems in a good way, there'll be more for everybody, more freedom for everybody and more money for everybody. I do believe that that is possible, but if we do this the wrong way, most of us are gonna suffer and a handful will enjoy their riches in a very secure compound."This episode is a banger. You will be inspired to take action!Chapters:(02:00) - “I don't want to live under machines… I also don't want to be like master of the machine” (06:25) - Creating good goals for AI systems and products (09:00) - “Nothing about us without us” – principles of community-based action (11:10) - How Baratunde stays creative and avoids mediocrity when using AI (14:10) - Building BLAIR, Baratunde's AI “co-host” and “producer” on Life With Machines (16:50) - “You know nothing, John Snow.” Generative AI systems are not knowledge repositories! (20:00) - Practice what you preach: on Mustafa Suleyman (Microsoft AI CEO) and his warning against building “Seemingly Conscious AI” (24:26) - The AI funding shell game (25:26) - Racing to AGI and the compromises (trust & safety, copyright, etc…) along the way (28:56) - How Baratunde reconciles his unease with his own heavy use of AI (32:10) - “Comedy will not save us; we will save us.” On the role of comedy vs. authority / authoritarians (36:26) - Bending the knee: why Baratunde says tech CEOs need to learn how collective power works (38:26) - What builders — what we! — can do (today!) to exercise our power about how these systems will be built (40:26) - “If we build these systems in a good way, there'll be more for everybody…” Where to find Baratunde Thurston:Life with Machines: https://www.lifewithmachines.media/Support Future Around & Find OutSubscribe to the newsletter and support: https://www.futurearound.comSupport the media — support the future — you hope to see. Please consider a paid subscription to Future Around & Find Out. You'll also get access to exclusive events and the ability to ask questions of upcoming guests. Learn more: https://www.futurearound.com/upgrade Sponsor the show?Interested in reaching an audience of senior technologists and decision-makers and aligning with future-forward content? Let's talk! Please email show host Dan Blumberg: dan@modernproductminds.com---Music by Jonathan Zalben

Leadership at Scale: Why Energy, Empathy, and Curiosity Matter More Than Solutions ⚡

Here in Episode #43, podcast host Dr. Jerry Workman speaks with Dr. Mustafa Kansiz, who is currently the Director of Product Management at Photothermal Spectroscopy Corporation in Santa Barbara, California. They will be discussing an introduction to optical photothermal infrared (O-PTIR) spectroscopy; the technique, its applications and the newest innovations in O-PTIR and even Photothermal Stimulated Raman Scattering (PT-SRS).

The pace of change in global supply chains isn't slowing down — and on this week's episode of Supply Chain Now, hosts Scott Luton and Marty Parker are back to break down the headlines, trends, and real-world implications leaders need to watch.From winter storms in metro Atlanta to rising cost pressures and workforce challenges, this episode cuts through the noise to explore what's shaping supply chain strategy in 2026 and beyond. Welcome to The Buzz, powered by EPG!Scott and Marty welcome featured guest, Heidi Benko, VP Product Management and Strategy for Infor Nexus, to join in diving into the biggest stories impacting supply chains today — and what they mean for operators, planners, and executives alike.Together, they discuss:Why analysts are forecasting a challenging year ahead for the automotive industry and what slow post-pandemic recovery means for manufacturers How the American Logistics Aid Network continues to meet urgent needs — and the growing impact of the “Never Normal” leadership series How Walmart is using AI-driven tools to boost performance during extreme weather events New survey data revealing how tariffs are driving up costs, fueling layoffs, and raising recession concerns across the industry The growing skills gap in manufacturing and why upskilling in data and analytics is becoming mission-critical How AI and digital tools are reshaping retail operations, according to new insights from Infor Bill Gates' prediction of a future two-day workweek — and why Scott and Marty aren't fully convincedThe episode also spotlights Infor's recognition as a leader in global trade management and offers a look ahead at the innovations shaping what's next.Tune in for timely insights, thoughtful analysis, and practical takeaways to help you stay ahead in an increasingly unpredictable supply chain landscape.Additional Links & Resources:EPG: https://epg.com/ With That Said: https://bit.ly/WTS-25-JAN-2026 American Logistics Aid Network (ALAN): https://www.alanaid.org/operations/ Our Never Normal Series: https://streamyard.com/watch/yrx5yigeuzvF The Best Logistics Trade Shows and Conferences in 2026: https://bit.ly/4sYCGV9U.S. Bank Freight Payment Index: https://bit.ly/scn-usbank-wtsWalmart taps ‘AI-driven systems' to reroute supply ahead of winter...

⭐⭐⭐⭐Please take 12 seconds to rate and review the podcast because it helps us find new listeners⭐⭐⭐⭐⭐Learn More About Sponsoring the Podcast Here: https://choicehacking.link/sponsor-the-podFREE RESOURCES✅ Get a free digital copy of my bestselling book for a limited time, Choice Hacking: How to use psychology and behavioral science to create an experience that sings. Get it here: https://www.choicehacking.com/free-book/ ✅ Get FREE weekly buyer psychology insights when you join my newsletter, Choice Hacking Ideas: Join the 10k+ people getting daily insights on how to 2x their marketing effectiveness (so sales and profit 2x, too) using buyer psychology. Join here: https://www.choicehacking.com/read/✅ Connect with host Jennifer Clinehens on LinkedIn, Instagram, YouTube, or TikTok @ChoiceHacking and @BuildwithChoiceHackingWORK WITH ME✅ Corporate Training: Get your team up-skilled marketing psychology and behavioral science with a workshop or training session. Choice Hacking has worked with brands like Microsoft, T-Mobile, and McDonalds to help their teams apply behavioral science and marketing psychology.Learn more here, and get in touch using the contact form at the bottom of the page: https://www.choicehacking.com/training/✅ Get your own Chief Business Copilot for your business by working with me one-on-one or in a group program. Get weekly live Skill Sessions, Implementation Sessions, and one-on-one time with me.Learn more about my group program here: https://choicehacking.academy/cbc/Learn more about one-on-one coaching here: https://www.choicehacking.com/coaching/✅ Buy my book in Kindle, paperback, or audiobook form: "Choice Hacking: How to use psychology and behavioral science to create an experience that sings": https://choicehacking.com/PodBook/ ★ Support this podcast ★

My guest today is ⁠Gokul Rajaram⁠, Founding Partner at Marathon Management. Gokul is one of the most prolific product builders and investors of the last twenty years. He has built the core ad and product businesses at Google, Facebook, Square, and DoorDash, working at each company during its most formative scaling periods. Alongside his operating career, Gokul has invested in more than 700 companies, giving him an unusually broad view into how products are built and scaled. This conversation is about how product building is changing with AI. We discuss the one thing Gokul believes is truly future-proof in AI, why companies like Zendesk and Slack are more exposed than Salesforce or NetSuite, and the only sources of defensibility.  We also talk about everything Gokul has learned from helping build the most important ads businesses, including the only three ways an ad business can make money, how those constraints shape product decisions, and what consumer behavior change threatens every major platform. Gokul shares lessons from working closely with Larry and Sergey, Mark Zuckerberg, Jack Dorsey, and Tony Xu. Please enjoy my conversation with Gokul Rajaram. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.  ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠Vanta⁠. Trusted by thousands of businesses, Vanta continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Visit ⁠vanta.com/invest⁠.  ----- This episode is brought to you by ⁠Rogo⁠. Rogo is an AI-powered platform that automates accounts payable workflows, enabling finance teams to process invoices faster and with greater accuracy. Learn more at ⁠Rogo.ai/invest⁠. ----- This episode is brought to you by⁠ ⁠WorkOS⁠⁠. WorkOS is a developer platform that enables SaaS companies to quickly add enterprise features to their applications. Visit⁠ ⁠WorkOS.com⁠⁠ to transform your application into an enterprise-ready solution in minutes, not months. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps (00:00:00) Welcome to Invest Like The Best (00:00:53) Meet Gokul Rajaram (00:02:05) How Product Development is Changing with AI (00:07:32) Philosophy of Product Management (00:10:19) What is Future-Proof in AI Era (00:11:25) Building AI Applications Today (00:15:03) Systems of Record vs Agent Companies (00:16:58) Which Legacy Software Companies Are Most Exposed (00:22:15) Stickiness in the AI Era (00:24:10) Learning from Larry Page and Sergey Brin (00:28:15) Learning from Mark Zuckerberg (00:31:31) Learning from Jack Dorsey (00:35:40) The Art of Great Product Design (00:36:49) Weekly CEO Communication (00:40:27) Three Ways to Succeed in Advertising (00:44:27) What Should Scare Major Ad Platforms (00:48:24) North Star Metrics (00:50:09) Self-Serve Products (00:54:50) Careers in the AI Era (00:59:03) Stay Long Enough to Have Impact (01:00:10) Founder Authenticity and Superpowers (01:02:21) Navigating the Idea Maze (01:03:42) Role of Boards (01:06:31) Excellence in Customer Acquisition  (01:09:11) The Kindest Thing 

Recently, Marc Andreessen joined Lenny Rachitsky on Lenny's Podcast. They talked about why 2025 may be the most significant year in tech history, how AI is reshaping the future of product managers, designers, and engineers, and what founders need to understand about building in this moment—from where moats actually exist in AI to what the most AI-native companies are doing differently to the skills Marc is teaching his own kids to thrive in what comes next. Resources:Follow Marc Andreessen on X: https://twitter.com/pmarcaFollow Lenny Rachitsky on X: https://twitter.com/lennysanCheck out Lenny's Podcast: https://www.lennysnewsletter.com/podcast Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Today on the Salesforce Admins Podcast, we talk to Cheryl Feldman, Senior Director of Product Management at Salesforce. Join us as we chat about how Agentforce will make Setup smarter, faster, and way more helpful. You should subscribe for the full episode, but here are a few takeaways from our conversation with Cheryl Feldman. Setup […] The post Setup with Agentforce Makes Salesforce Admin Tasks Easier appeared first on Salesforce Admins.

Ori Bendet, Vice President of Product Management at Checkmarx, joined Doug Green, Publisher of Technology Reseller News, to discuss how the acquisition of Tromzo strengthens Checkmarx's agentic application security strategy and reflects a broader shift in how organizations secure software in an AI-driven development era. Bendet explained that Checkmarx, a pioneer in application security with more than two decades of experience, has traditionally focused on helping organizations identify vulnerabilities early in the software development lifecycle (SDLC). However, the rapid adoption of AI-generated code has fundamentally changed the AppSec landscape. “The industry used to be fixated on finding vulnerabilities,” Bendet said. “Now the real challenge is fixing them at scale, in context, and without slowing developers down.” The Tromzo acquisition builds on Checkmarx's existing family of agentic tools, Checkmarx Assist, which already provides real-time remediation inside the developer IDE. Tromzo extends these capabilities deeper into the SDLC, enabling automated remediation at the repository and pull-request stages. Together, the technologies aim to “complete the loop” by delivering consistent, trusted remediation from early development through later stages of deployment. Bendet noted that AI is widening the gap between development velocity and security oversight, as significantly more code—and therefore more vulnerabilities—is being produced. At the same time, the application footprint itself is evolving to include AI components such as large language models, agents, and third-party AI services. “There is now a new AI element inside the application,” he said, “and organizations need AppSec solutions that understand and protect that expanded footprint.” Auto-remediation, once viewed skeptically by developers, is now gaining acceptance as AI agents gain a deeper understanding of application context. According to Bendet, modern agentic tools can remediate vulnerabilities while preserving business logic and minimizing disruption. “Developers no longer need to spend days undoing fixes that broke functionality,” he said. “The agent can understand the blast radius and refactor automatically.” Looking ahead, Bendet described a future where AppSec becomes more autonomous, with agents continuously testing, fixing, and validating applications while developers shift toward higher-level architectural and review roles. With proper guardrails in place, this evolution promises to reduce alert fatigue and allow teams to focus on innovation rather than remediation backlogs. More information about Checkmarx and its agentic application security approach is available at https://checkmarx.com/, with additional developer-focused resources at https://checkmarx.dev/.

Learning and development (L&D) teams are increasingly expected to think beyond programs and courses to operate more like strategic partners to the business. But what does that actually look like in practice? One approach is applying product management principles to how L&D designs and delivers learning. In this episode of The Business of Learning, we spoke with Rashi Kakkar, global portfolio leader, leadership and development at McKinsey's Leadership Center of Excellence, to explore how product management mindsets can help L&D teams align learning more closely with business outcomes and learner needs. Tune in now for insights on: The similarities between product management and modern L&D processes What L&D can learn from product managers about taking a more strategic, business-first approach How customer-centric thinking can improve learning design and impact

Andrew Chimka is Senior Director of Product Management at LinkedIn. He joins Megan Lynch with a look at how the company is utilizing AI to assist recruiting and hiring.

At Trimble Insight 2025 in New Orleans, FreightWaves' Thomas Wasson sits down with Brian Mulshine, Senior Director of Product Management at Trimble, to unpack how AI, integrations, and real-time data are reshaping fleet maintenance. From AI-powered road call agents and automated invoice processing to predictive maintenance, OEM deep-linking, and tire failure trends, this conversation dives into how fleets can reduce downtime, slash administrative work, and keep trucks rolling in a tight freight market. A must-watch for fleet operators, maintenance leaders, and anyone focused on keeping equipment profitable. ⁠Follow the Loaded and Rolling Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Cara Munnis was wearing an N95 mask while taking care of her daughter with norovirus all night because she had a critical meeting the next day and "I cannot get this thing." She showed up, ran the meeting, and afterward couldn't tell if anyone noticed she was operating on "one brain cell processing everything." Welcome to being a Chief Product Officer and a mom. Here's what most people don't know about the CPO role: it has the shortest tenure of any C-suite position—less than half that of other executives. You're supposed to be "Switzerland," the neutral party among competing stakeholders. But you're constantly telling your C-suite peers—very kindly—why their ideas are going to sink or swim. The real transformation wasn't navigating those politics. It was what happened when Cara's daughter was born seven years ago. "For someone who's led massive technology transformations multiple times, it's very ironic how hard this transition was for me." The evening checkboxes—that sacred 5-8pm window where she prepared for the next day—vanished instantly. It took five years to build a new operating system where she hired without compromise and delegated with her eyes closed. In this conversation, Cara explains why she's "obsessed" with finding the economic denominator, why Conway's Law means your product will mirror your org structure, and why staying close to technology was the best career advice she ever got. After describing her relentless discipline and surgical precision, she deadpans: "I haven't been fired yet, so I dunno, I guess it's okay." This is a masterclass in product leadership that scales, parenting that doesn't apologize, and ruthless prioritization when you're scraping for minutes in your day. Key Takeaways: How to choose the right ladder to climb—make career decisions based on intentionality, not just opportunity or speed How to turn constraints into leadership advantages—use the pressure of working parenthood to force yourself to hire without compromise and delegate with confidence How to stay close to technology in any role—even as a non-technical leader, understanding architecture helps you defend budgets, win deals, and articulate competitive advantages How to shift your communication style as you move into executive roles—listen more, ask questions even when you know the answer, and bring others along instead of leading with your opinion How to design org structures that create better products—use Conway's Law (products mirror internal communication structures) to intentionally build teams that will produce the outcomes you want About the Guest: Cara Munnis is Chief Product Officer at Care Lumen and Operating Partner at Newfire Global Partners, bringing over 15 years of healthcare technology product leadership to organizations navigating the intersection of clinical outcomes and business results. She spent six years at Amwell advancing from Senior Director to VP of Product Management, previously served as Head of Product for Digital Health at Blue Shield of California, and held leadership roles at Iora Health and Best Doctors. With a pre-med degree from College of the Holy Cross and an MBA from Bentley University, Cara is Pragmatic Marketing Certified – Level III and known for her ability to balance strategic product vision with rigorous execution while fostering collaborative team environments. Chapters [Placeholder for Chapters] Guest & Host Links Connect with Laurie McGraw on LinkedIn Connect with Cara Munnis on LinkedIn Connect with Inspiring Women Browse Episodes | LinkedIn | Instagram | Apple | Spotify

At Trimble Insight 2025 in New Orleans, FreightWaves' Thomas Wasson sits down with Brian Mulshine, Senior Director of Product Management at Trimble, to unpack how AI, integrations, and real-time data are reshaping fleet maintenance. From AI-powered road call agents and automated invoice processing to predictive maintenance, OEM deep-linking, and tire failure trends, this conversation dives into how fleets can reduce downtime, slash administrative work, and keep trucks rolling in a tight freight market. A must-watch for fleet operators, maintenance leaders, and anyone focused on keeping equipment profitable. Follow the Loaded and Rolling Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we're joined by Ben McAllister, the Chief Product and Technology Officer at CrossFit, and one of the most thoughtful product leaders I've had the pleasure of speaking with. Ben's path is anything but linear: with a degree in physics, a short stint in consulting, and time spent as a creative director at a design agency before moving into senior product roles at Under Armour. Now he's shaping one of the world's most iconic fitness ecosystems. In this episode, Ben shares: Why attention is the ultimate currency in product design, and how to design for the “spotlight” versus the periphery. The “Infovore” Advantage: Why the best product leaders borrow ideas from outside the tech world; and How to build a cohesive product strategy for a complex, decentralized network like CrossFit's global community of affiliates and athletes. Links LinkedIn: https://www.linkedin.com/in/mcallister/ X: https://x.com/benmcallister?lang=en CrossFit: https://www.crossfit.com/ Resources The Age of the Infovore: Succeeding in the Information Economy (https://tylercowen.com/dd-product/the-age-of-the-infovore-succeeding-in-the-information-economy/) On the Origin of Stories (https://www.hup.harvard.edu/books/9780674057111) Chapters 00:00: Introduction 00:41: Ben's non-linear career path: From physicist to product leader 03:23: The "infovore" mindset in product management 06:00: Storytelling, juxtaposition, and the science of learning 08:48: Designing product for attention 12:00: Why product leaders shouldn't ignore marketing 15:10: CrossFit's origins as an internet-native brand 19:44: What is the CrossFit Open? 24:37: Conclusion Follow LaunchPod on YouTube We have a new YouTube page! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com.

When your website stops working at 3 AM, you need to answer one question fast: Is it my code or is a big cloud provider having problems? Omri Sass from Datadog explains updog.ai, a tool that monitors whether major services like AWS, CloudFlare, and others are actually working. Instead of asking people to report problems like Down Detector does, updog uses real data from thousands of computers to detect when services go down. Omri shares why this took 6 years to build, how they process massive amounts of data with machine learning, and why cloud providers have been strangely upset about these tools existing.About Omri: Omri Sass is a Director of Product Management at Datadog, where he leads and supports a team of 25+ product managers driving initiatives across Bits AI SRE, Data Observability, Service Management, and most recently, the launch of updog.ai. Outside of work, Omri is an avid sci-fi reader, a dedicated yoga practitioner, and happily outmatched by his cat.Show Highlights:(02:12) What is Updog and How Does It Work(03:38) Why Knowing If It's a Global Problem Matters(04:01) The Problem With Testing Every Endpoint Yourself(05:52) How Datadog Discovered EC2 Outages From Their Own Systems(10:38) When AWS Regions Go Down and Cascade Failures(13:13) What Happens When Services Rebuild Completely(16:29) The Most Important Learning During a 3 AM Incident(20:11) Why This Took So Long to Build(23:40) When Datadog Going Down Isn't Critical Path(25:22) How They Picked Which AWS Services to Monitor(27:07) What Comes Next for Updog(30:11) Where to Find Omri and UpdogLinks: Datadog: datadoghq.comOmir's LinkedIn: https://www.linkedin.com/in/omri-sass-65632a14/Sponsored by: duckbillhq.com

In this episode, host Sandy Vance is joined by Julie Frey, Vice President of Product Management at Wolters Kluwer, for a thoughtful conversation on how artificial intelligence is shaping clinical intelligence across healthcare. Together, they explore how AI is supporting the work organizations are already doing, and how Wolters Kluwer helps teams identify meaningful use cases and turn innovation into real value. From trusted, evidence-based solutions like UpToDate and Lexidrug to the evolving standards around safety, reliability, and trust, this conversation digs into what responsible AI looks like in practice. They also discuss the wide range of healthcare use cases and why organizations need to define their own standards as they move forward with AI adoption.In this episode, they talk about:Wolters Kluwer has a range of evidence-based solutions that enable better care, including UpToDate® and LexidrugHow AI has impacted the services that Wolters Kluwer delivers through its productsDifferent types of use cases in healthcareHow they set the standard of what is safe, reliable, and trustedWhen it comes to AI, organizations need to develop their own set of standards for accuracy and effectivenessThe importance of prompt engineeringA Little About Julie:As the Head of Provider Product, Julie is a crucial support for healthcare providers incorporating market-leading clinical decision support and patient solution technologies, such as UpToDate®. She brings over a decade of experience in corporate and product strategy to her current role, having held various leadership positions within Wolters Kluwer.Before joining the Health team, she worked in strategy and risk analysis for Red24, now a division of Gardaworld. Originally hailing from South Africa, Julie earned her MBA from IE University.Julie approaches her role with the understanding that the clinical need for intuitive, personalized, visually compelling, and actionable workflows will only become more critical. She assists providers in meeting their highest-priority use cases.

In this sponsored episode, Eric sits down with Lee Peterson, VP of Product Management for Secure WAN, at Cisco. Together they discuss how Cisco Unified Branch is helping organizations scale, automate, and secure their distributed environments. They also define the Branch Network, discuss the major challenges facing network teams, and walk through Cisco’s vision of... Read more »

In this sponsored episode, Eric sits down with Lee Peterson, VP of Product Management for Secure WAN, at Cisco. Together they discuss how Cisco Unified Branch is helping organizations scale, automate, and secure their distributed environments. They also define the Branch Network, discuss the major challenges facing network teams, and walk through Cisco’s vision of... Read more »

In this episode of Business Brain, Shannon Jean and Dave Hamilton are joined by Juliana Berger, Head of Payments at QuickBooks, to unpack where founders most often misunderstand how cashflow systems actually connect. They explore the “mycelium” of a business—the meaningful connectivity layer where every dollar in and every dollar out matters—and why fragmented tools quietly create anxiety, inefficiency, and blind spots that erode confidence. The conversation dives into what truly defines business health: durable, predictable cashflow. From cashflow run rate and cash efficiency to DSO, DPO, and operational resiliency, the hosts break down how accuracy, automation, and smart guardrails create leverage instead of chaos. With insights on using AI the right way—through permissions, visibility, and trust-building controls—this episode shows how clarity fuels better decisions and a more intentional, Charmed Life. 00:00:00 Business Brain – The Entrepreneurs' Podcast #720 for Wednesday Casual FridAI, January 21st, 2026 January 21st: Thank Your Mentor Day Guest Co-host: Juliana Berger, Director of Product Management, Head of Payments at Intuit QuickBooks  SPONSOR: Intuit QuickBooks Payroll – Leave the chaos behind and start the new year off right with QuickBooks Payroll. Learn more by visiting QuickBooks.com/payroll Where do founder misunderstand how all the cashflow systems interconnect What's the mycelium of your business – what's the connectivity layer? Where do things connect in a MEANINGFUL way? Every dollar in and every dollar out matters… and QuickBooks gets to see that Helping the anxious candlemaker who was using 16 different apps/tools to manage her business What determines the health of a business? Durable and predictable cashflow are the keys to this! Cashflow run rate: how much in and out? Is it consistent? Know your business. Know your cash efficiency. DSO vs. DPO DSO: Days sales outstanding DPO: Days payable outstanding Know Your Resiliency – What's the riskiest part of your business and how are you managing that? Using AI and automation the RIGHT way Accuracy is power When things are accurate, that's great. When they're inaccurate, you just created WAY more work for yourself Important guardrails to look for when evaluating a tool Permissions and approvals Visibility and defensibility of information Controls… UNDO is important for trust Intuit also has trusted live experts in addition to all the other tools Business Brain 720 Outtro Tell Your Friends! Review Business Brain Subscribe to the show feedback@businessbrain.show Call/Text: (567) 274-6977 X/Twitter: @ShannonJean & @DaveHamilton, & @BizBrainShow LinkedIn: Shannon Jean, Dave Hamilton, & Business Brain Facebook: Dave Hamilton, Shannon Jean, & Business Brain The post Juliana Berger, QuickBooks Head of Payments – Business Brain 720 appeared first on Business Brain - The Entrepreneurs' Podcast.

In this episode, Carlos Gonzalez de Villaumbrosia, CEO & Founder at Product School, interviews Anique Drumright, General Manager and VP of Product at Rippling, the workforce management platform valued at $16.8 billion with over $570 million in ARR.Anique is a product veteran who has shaped high-growth teams at Uber, TripActions, and Loom. Now at Rippling, she helps lead a workforce of over 4,000 employees, including 100 former founders, to maintain the speed and ownership typically lost at scale. In this conversation, Anique breaks down how Rippling successfully operates as a compound startup and why product leaders must evolve into General Managers.What you'll learn:How to pivot from managing a backlog to owning a P&L as a GM.The Compound Startup framework for consolidating enterprise categories.How to build high-performing teams by hiring for "founder-level" curiosity.Strategies for proving ROI to enterprise customers to drive platform adoption.Key takeaways:Go and See: Why leaders must personally investigate customer issues to set the bar for quality.Singular Obsession: How to organize teams to maintain focus and velocity as you scale.Automating ROI: How Rippling uses product efficiency to justify headcount reduction for clients.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Anique DrumrightSocial Links: Follow our Podcast on Tik Tok here Follow Product School on LinkedIn here Join Product School's free events here Find out more about Product School here

Noam Lovinsky is the CPO @ Superhuman (formerly Grammerly). Prior to Superhuman he was a Senior Director of Product Management at Facebook. In his earlier years he was CPO @ Thumbtack and spent 5 years as a Director of Product Management at Google where he was responsible for all of Youtube's applications.  AGENDA: 03:43 What is Great Product Leadership in a World of AI 07:45 Does the Design Phase Die in a World of Vibe Coding 12:21 How AI Changes Product Development Most 22:23 Accelerating Product Development 29:32 AI's Impact on Product Building 34:19 Predictions for 2026 34:45 Quick Fire Round 38:41 Reflections and Future Plans  

Product management is being rewritten in real time, and AI is doing the editing.Matt sits down with Jerel Velarde, product manager at Full Scale Ventures, to discuss how AI is reshaping the relationship between PMs and engineering. We dive into what Jerel calls prompt prototyping, how expectations for product velocity have changed, and why the best PMs today are blending design, strategy, and code—all while staying laser-focused on validation over output.If you're a founder, CTO, or product leader trying to navigate the new frontier of product development, this one's for you.Key Discussion PointsIs “Product Manager” even the right title anymore?The new definition of PM: focused on outcomes, not artifactsHow PMs are using AI to validate fasterHow to lead product in a startup vs. a scale-upHow to think about MVPs when AI can build anythingResources & LinksConnect with Jerel on LinkedInProduct Driven - Get the BookSubscribe to the Product Driven NewsletterWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent Sprint